Georgia Layoffs — February 2010
Employers in Georgia submitted 4 WARN Act notices in February 2010, putting at risk an estimated 615 workers — down from January and down 91% versus February 2009. The average filing covered 154 workers, with 0 closures among the notices.
Industry Breakdown
| Industry | Notices | Workers |
|---|---|---|
| Manufacturing | 1 | 475 |
| Information & Technology | 2 | 123 |
| Professional Services | 1 | 17 |
The Manufacturing sector emerged as the hardest-hit sector with 475 workers across 1 notice. Separately, Information & Technology reported 123 workers.
Geographic Hotspots
| County | Notices | Workers |
|---|---|---|
| Bleckley | 1 | 475 |
| Dougherty | 1 | 73 |
| Fulton | 1 | 50 |
| Floyd | 1 | 17 |
Bleckley absorbed the greatest share of layoffs, accounting for 77% of all affected workers with 475 workers across 1 notices.
| City | Notices | Workers |
|---|---|---|
| Cochran | 1 | 475 |
| Albany | 1 | 73 |
| Atlanta | 1 | 50 |
| Rome | 1 | 17 |
Layoff Type Analysis
Layoff type classification was not available for filings in Georgia this month.
Largest Layoffs
| Company | City | Workers | Type | Date |
|---|---|---|---|---|
| Acuity Brands Lighting | Cochran | 475 | ||
| AT&T | Albany | 73 | ||
| The Atlanta Journal Constitution | Atlanta | 50 | ||
| Cch Small Firm Services | Rome | 17 |
Topping the list was Acuity Brands Lighting at its Cochran facility, reporting 475 affected workers. AT&T followed with 73 workers.
Trend & Outlook
These figures highlight a easing in workforce disruptions across Georgia, with filings falling below both recent and year-ago levels. The Manufacturing sector warrants close attention heading into the next period.
This analysis is based on official WARN Act filings reported by Georgia. The Worker Adjustment and Retraining Notification (WARN) Act requires employers with 100+ employees to provide 60-day advance notice of mass layoffs and plant closings. Data is updated daily by WARN Firehose. View all Georgia WARN notices, browse layoffs by state, or download the full dataset.